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Update
What changedThe BBC’s new account adds detail on how predictive policing can turn past patterns into future records. When police patrol areas flagged by a system more heavily, more crime may be recorded there; that data can then make those areas look like still stronger candidates for patrols. The result is a feedback loop, not simply a forecast that sits on a screen.
Sociologist Sarah Brayne’s research inside the Los Angeles Police Department found that data used to predict crime was skewed: crimes in public places were more likely to be recorded, and police attention fell disproportionately on Black neighbourhoods.
The piece includes a counterpoint from AI researcher Dimitrios Kollias: modern systems can do more than reproduce training examples, and bias is not inevitable. He says systems can be tested for unfair outcomes and safeguards introduced.
Sources and evidence- AI in policing risks deepening discrimination, research warns – BBC: The BBC reports that biased or unlawful police records may feed predictive systems and reinforce existing patterns of surveillance; it also reports researchers’ findings on skewed LAPD data and police datasets from nine of 13 US areas.
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